Monitoring large scale Docker production environments
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Monitoring large scale Docker production environments
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Monitoring large scale Docker production environments
- 1. Monitoring large scale Docker production environments Alois Reitbauer, Dynatrace @aloisreitbauer
- 3. Docker Adoption comes in two flavors
- 4. Why do we talk about monitoring?
- 6. 46 % of all respondants see monitoring as criticial for Docker in production
- 7. Get the full report https://www.ruxit.com/docker
- 8. Why is monitoring so hard/different?
- 9. We are at the verge of a paradigm shift 90 % of 2013 best practices are about to become anti-patterns
- 10. Develop Big monolithic application. Small interconnected purpose-built services.
- 11. Two Pizza Box Teams 3 – 6 people teams can deliver features into production
- 12. New Rules in the Game You build it, you run it. Werner Vogels, CTO Amazon
- 13. Polyglot Development requires Polyglot Monitoring Wide and deep Built-in expert knowledge Monitoring is a platform feature https://vimeo.com/131385890 - James Turnmbull Monitoring as a s Service Monitorama 2015
- 14. Ship Deploy Big Bang Releases of single special built applications. Small continuous service delivery of standardized delivery blocks.
- 16. Microservice drive web-scale monitoring Environments are usually 20 times larger Network Monitoring on the rise Machine-Assisted Problem resolution From Infrastructure to Application https://www.youtube.com/watch?v=smEuX-Hq6RI - Monitoring Micro Services, Adrian Cockcroft Keynote O’Reilly Software Architecture Conference
- 18. Problems tend to become complex 820 Billion dependencies Network Problem Mushroom cloud effect
- 19. The mastery – Liquid Environments
- 20. Deployments are no longer static 7:00 a.m. Low Load and Service running on minimum redudancy 12:00 p.m. Scaled up service during peak load with failover of problematic node 7:00 p.m. Scaled down again to lower load and move to different geo location
- 21. Monitor your Orchestration Layer
- 23. Monitoring Netflix OSS Components
- 24. Network Monitoring is key
- 25. Monitoring as a Platform Feature Auto-Injection Self-configuration
- 26. Monitoring Requirements for Docker Visualize automation impact Automated problem analysis Monitor orchestration platforms Network monitoring core capability Massive scalability
- 28. Thank you! Alois Reitbauer, Dynatrace Ruxit @aloisreitbauer
Notes de l'éditeur
- 20x larger: Axel springer moved to docker about 20x more instances no changes otherwise network monitoring: networking issues just happen in such dynamic and complex cloud environments and are challenging to find needs new approaches machine-assisted: humans cannot deal with this complexity, its just too much – just like we use a navigation system to find quickly the shortest/fastest path to somewhere / use google to get results ranked by many factors to provide high likelyhood of usefulness. server monitoring is dead: it is about the entire application stack including infrastructure that serves end-users=business; and that needs monitoring